smoothschedule/activepieces-fork/packages/pieces/community/straico/src/i18n/translation.json

{
  "1": "1",
  "2": "2",
  "3": "3",
  "4": "4",
  "All-in-one generative AI platform": "All-in-one generative AI platform",
  "\nFollow these instructions to get your Straico API Key:\n\n1. Visit the following website: https://platform.straico.com/user-settings.\n2. Once on the website, locate \"Connect with Straico API\" and click on the copy API Key.\n": "\nFollow these instructions to get your Straico API Key:\n\n1. Visit the following website: https://platform.straico.com/user-settings.\n2. Once on the website, locate \"Connect with Straico API\" and click on the copy API Key.\n",
  "Ask AI": "Ask AI",
  "Image Generation": "Image Generation",
  "Upload File": "Upload File",
  "Create RAG": "Create RAG",
  "List RAGs": "List RAGs",
  "Get RAG by ID": "Get RAG by ID",
  "Update RAG": "Update RAG",
  "Delete RAG": "Delete RAG",
  "RAG Prompt Completion": "RAG Prompt Completion",
  "Create Agent": "Create Agent",
  "Add RAG to Agent": "Add RAG to Agent",
  "List Agents": "List Agents",
  "Delete Agent": "Delete Agent",
  "Update Agent": "Update Agent",
  "Get Agent Details": "Get Agent Details",
  "Agent Prompt Completion": "Agent Prompt Completion",
  "Custom API Call": "Custom API Call",
  "Enables users to generate prompt completion based on a specified model.": "Enables users to generate prompt completion based on a specified model.",
  "Enables users to generate high-quality images based on textual descriptions.": "Enables users to generate high-quality images based on textual descriptions.",
  "Upload a file to Straico API for processing.": "Upload a file to Straico API for processing.",
  "Create a new RAG (Retrieval-Augmented Generation) base in the database.": "Create a new RAG (Retrieval-Augmented Generation) base in the database.",
  "List all RAG (Retrieval-Augmented Generation) bases for a user.": "List all RAG (Retrieval-Augmented Generation) bases for a user.",
  "Retrieve a specific RAG (Retrieval-Augmented Generation) base by its ID.": "Retrieve a specific RAG (Retrieval-Augmented Generation) base by its ID.",
  "Update an existing RAG (Retrieval-Augmented Generation) base with additional files.": "Update an existing RAG (Retrieval-Augmented Generation) base with additional files.",
  "Delete a specific RAG (Retrieval-Augmented Generation) base by its ID.": "Delete a specific RAG (Retrieval-Augmented Generation) base by its ID.",
  "Send a prompt to a specific RAG (Retrieval-Augmented Generation) model.": "Send a prompt to a specific RAG (Retrieval-Augmented Generation) model.",
  "Creates a new agent in the database for the user.": "Creates a new agent in the database for the user.",
  "Adds a new RAG to an agent in the database for the user.": "Adds a new RAG to an agent in the database for the user.",
  "Retrieves the list of agents created by and available to the user.": "Retrieves the list of agents created by and available to the user.",
  "Delete a specific agent by its ID": "Delete a specific agent by its ID",
  "Update the details of a specific agent": "Update the details of a specific agent",
  "Retrieve details of a specific agent": "Retrieve details of a specific agent",
  "Prompt an agent with a message and get a response": "Prompt an agent with a message and get a response",
  "Make a custom API call to a specific endpoint": "Make a custom API call to a specific endpoint",
  "Model": "Model",
  "Prompt": "Prompt",
  "File URLs": "File URLs",
  "YouTube URLs": "YouTube URLs",
  "Image URLs": "Image URLs",
  "Display Transcripts": "Display Transcripts",
  "Temperature": "Temperature",
  "Max Tokens": "Max Tokens",
  "Number of Images": "Number of Images",
  "Image Dimensions": "Image Dimensions",
  "Description": "Description",
  "File": "File",
  "Name": "Name",
  "Chunking Method": "Chunking Method",
  "Chunk Size": "Chunk Size",
  "Chunk Overlap": "Chunk Overlap",
  "Separator": "Separator",
  "Separators": "Separators",
  "Breakpoint Threshold Type": "Breakpoint Threshold Type",
  "Buffer Size": "Buffer Size",
  "RAG ID": "RAG ID",
  "Search Type": "Search Type",
  "Number of Documents": "Number of Documents",
  "Fetch K": "Fetch K",
  "Lambda Mult": "Lambda Mult",
  "Score Threshold": "Score Threshold",
  "Custom Prompt": "Custom Prompt",
  "Default LLM": "Default LLM",
  "Tags": "Tags",
  "Agent": "Agent",
  "Status": "Status",
  "Visibility": "Visibility",
  "Method": "Method",
  "Headers": "Headers",
  "Query Parameters": "Query Parameters",
  "Body": "Body",
  "Response is Binary ?": "Response is Binary ?",
  "No Error on Failure": "No Error on Failure",
  "Timeout (in seconds)": "Timeout (in seconds)",
  "The model which will generate the completion. Some models are suitable for natural language tasks, others specialize in code.": "The model which will generate the completion. Some models are suitable for natural language tasks, others specialize in code.",
  "The prompt text for which completions are requested": "The prompt text for which completions are requested",
  "URLs of files to be processed by the model (maximum 4 URLs), previously uploaded via the File Upload endpoint": "URLs of files to be processed by the model (maximum 4 URLs), previously uploaded via the File Upload endpoint",
  "URLs of YouTube videos to be processed by the model (maximum 4 URLs)": "URLs of YouTube videos to be processed by the model (maximum 4 URLs)",
  "URLs of images to be processed by the model, previously uploaded via the File Upload endpoint": "URLs of images to be processed by the model, previously uploaded via the File Upload endpoint",
  "If true, returns transcripts of the files. Note: Either File URLs or YouTube URLs are required when this is enabled": "If true, returns transcripts of the files. Note: Either File URLs or YouTube URLs are required when this is enabled",
  "This setting influences the variety in the model's responses (0-2)": "This setting influences the variety in the model's responses (0-2)",
  "Set the limit for the number of tokens the model can generate in response": "Set the limit for the number of tokens the model can generate in response",
  "Number of images to generate.": "Number of images to generate.",
  "Select the image generation model.": "Select the image generation model.",
  "The desired image dimensions.": "The desired image dimensions.",
  "A detailed textual description of the image to be generated.": "A detailed textual description of the image to be generated.",
  "The file to upload. Supported file types: pdf, docx, pptx, txt, xlsx, mp3, mp4, html, csv, json, py, php, js, css, cs, swift, kt, xml, ts, png, jpg, jpeg, webp, gif": "The file to upload. Supported file types: pdf, docx, pptx, txt, xlsx, mp3, mp4, html, csv, json, py, php, js, css, cs, swift, kt, xml, ts, png, jpg, jpeg, webp, gif",
  "Represents the name of the RAG base": "Represents the name of the RAG base",
  "Represents the description of the agent": "Represents the description of the agent",
  "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py": "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py",
  "Represents the chunking method to be used for generating the RAG base. The default value is fixed_size": "Represents the chunking method to be used for generating the RAG base. The default value is fixed_size",
  "The size of each chunk (default: 1000)": "The size of each chunk (default: 1000)",
  "The overlap between chunks (default: 50)": "The overlap between chunks (default: 50)",
  "The separator to use for fixed_size chunking method": "The separator to use for fixed_size chunking method",
  "The separators to use for recursive chunking method": "The separators to use for recursive chunking method",
  "The breakpoint threshold type for semantic chunking method": "The breakpoint threshold type for semantic chunking method",
  "The buffer size for semantic chunking method": "The buffer size for semantic chunking method",
  "The ID of the RAG base to retrieve.": "The ID of the RAG base to retrieve.",
  "The ID of the RAG base to update.": "The ID of the RAG base to update.",
  "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py.": "Represents the file to be attached. Accepted file extensions are: pdf, docx, csv, txt, xlsx, py.",
  "The ID of the RAG base to delete": "The ID of the RAG base to delete",
  "The ID of the RAG base to query": "The ID of the RAG base to query",
  "A text prompt for the RAG model": "A text prompt for the RAG model",
  "The specific LLM to be used": "The specific LLM to be used",
  "Type of search to perform": "Type of search to perform",
  "Number of documents to return": "Number of documents to return",
  "Amount of documents to pass to MMR algorithm": "Amount of documents to pass to MMR algorithm",
  "Diversity of results return by MMR (1 for minimum and 0 for maximum)": "Diversity of results return by MMR (1 for minimum and 0 for maximum)",
  "Minimum relevance threshold for similarity_score_threshold": "Minimum relevance threshold for similarity_score_threshold",
  "A name for the agent": "A name for the agent",
  "A brief description of what the model does": "A brief description of what the model does",
  "A model that the agent will use for processing prompts": "A model that the agent will use for processing prompts",
  "The language model which the agent will use for processing prompts": "The language model which the agent will use for processing prompts",
  "An array of tags for the agent. Example: [\"assistant\",\"tag\"]": "An array of tags for the agent. Example: [\"assistant\",\"tag\"]",
  "The agent to add the RAG to.": "The agent to add the RAG to.",
  "The ID of the RAG to add to the agent": "The ID of the RAG to add to the agent",
  "Select the agent to delete": "Select the agent to delete",
  "Select the agent to update": "Select the agent to update",
  "New name for the agent": "New name for the agent",
  "New description for the agent": "New description for the agent",
  "New custom prompt for the agent": "New custom prompt for the agent",
  "New default LLM for the agent": "New default LLM for the agent",
  "New status for the agent": "New status for the agent",
  "New visibility setting for the agent": "New visibility setting for the agent",
  "Select the agent to get details for.": "Select the agent to get details for.",
  "Select the agent to prompt.": "Select the agent to prompt.",
  "The text prompt for the agent": "The text prompt for the agent",
  "The search type to use for RAG model": "The search type to use for RAG model",
  "Diversity of results returned by MMR (0 for minimum, 1 for maximum)": "Diversity of results returned by MMR (0 for minimum, 1 for maximum)",
  "Authorization headers are injected automatically from your connection.": "Authorization headers are injected automatically from your connection.",
  "Enable for files like PDFs, images, etc..": "Enable for files like PDFs, images, etc..",
  "square": "square",
  "landscape": "landscape",
  "portrait": "portrait",
  "Percentile": "Percentile",
  "Interquartile": "Interquartile",
  "Standard Deviation": "Standard Deviation",
  "Gradient": "Gradient",
  "Similarity": "Similarity",
  "MMR": "MMR",
  "Similarity Score Threshold": "Similarity Score Threshold",
  "Active": "Active",
  "Inactive": "Inactive",
  "Private": "Private",
  "Public": "Public",
  "GET": "GET",
  "POST": "POST",
  "PATCH": "PATCH",
  "PUT": "PUT",
  "DELETE": "DELETE",
  "HEAD": "HEAD"
}